Análise multivariada de características reprodutivas e produtivas de vacas da raça Holandesa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise multivariada de características reprodutivas e produtivas de vacas da raça Holandesa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Analysis of Vilanova Artigas' unbuilt designs in Sao Paulo

The aim of this article is to examine unbuilt residential projects designed by Vilanova Artigas. The formal and spatial conception of these projects is investigated through physical models. The object of this research project consists of the unbuilt residential projects designed by Vilanova Artigas in Sao Paulo that are available in FAUUSP's digital Library. The results indicate that physical models contribute to a better interpretation of unbuilt architectural design, both from the conceptual and aesthetic and from the functional and technical point of view. The original contribution lies in the object, i.e. the unbuilt projects, in the method, using physical models for analysis, and in the objective, viz. to establish a relationship between Artigas' built works and his unbuilt residential projects in order to better understand the design's spatial conception and its architectural approach.

O uso da maquete física como ferramenta de leitura do patrimônio cultural

O presente artigo vincula-se às pesquisas do Núcleo de Apoio à Pesquisa em Estudos de Linguagem em Arquitetura e Cidade (N.ELAC), que atua na área de Linguagem e Representação. Diante das diversas formas de representação em arquitetura (desenho, maquete, modelos digitais), nesta pesquisa o modelo tridimensional físico é trazido como ferramenta que proporciona maior facilidade de leitura do projeto e tratado como meio de aproximação da comunidade ao patrimônio arquitetônico, envolvendo, sobretudo, a arquitetura moderna paulista. Como estudo de caso, escolheu-se o Edifício E1, obra de Ernest Mange e Hélio Duarte. Localizado no campus da USP em São Carlos, é considerado patrimônio da cidade, entretanto, encontra-se praticamente enclausurado no interior do campus, dificultando maior contato da comunidade com o edifício. Durante sua execução, foi utilizado apenas o desenho como ferramenta de representação de projeto, não incluindo nenhum tipo de modelo tridimensional (físico ou digital). A partir do levantamento das representações gráficas utilizadas, foi possível fazer uma comparação entre o nível de compreensão do projeto apenas com as peças gráficas dos arquitetos e a partir do modelo físico, produzido pela pesquisadora. Realizou-se um pré-teste em escola pública municipal, que indicou um aumento no interesse desses alunos pelo edifício em questão.

O uso de modelos nos processos projetuais contemporâneos

Durante o processo de projeto, o arquiteto transpõe suas ideias para o campo real, do concreto. Os diversos modos de expressão e representação têm como função mediar essa interação, diminuindo a distância entre esses dois campos. Vive-se hoje, um momento de intensa transformação das estratégias projetuais, propiciada pelos novos meios digitais. Assim, esta pesquisa, centra-se na comparação entre diversos momentos do uso de modelos nos processos projetivos contemporâneos, através de uma investigação em escritórios de arquitetura paulistanos que utilizam o modelo físico como parte de seus processos de projeto. Busca-se entender qual o papel dessa ferramenta de representação e suas potencialidades nos dias atuais. Como estudo de caso, faz-se uma análise comparativa entre o uso das maquetes digital e física, destacando dois estudos: a maquete do Conjunto Ponte dos Remédios, do arquiteto Marcos Acayaba e as maquetes de estudos elaboradas pelo escritório Andrade Morettin Arquitetos, para o concurso para o Instituto Moreira Salles/SP. Entre os objetivos desse trabalho também se encontra uma análise da contribuição dos modelos físicos no Ensino de Arquitetura.

Herstellung und physikochemische Charakterisierung von planaren gestützten Lipid-Modellmembran-Systemen

Es wurden funktionalisierte polymerunterstützte planare Phospholipid-Modellmembran-Systeme hergestellt und auf jeder Präparationsstufe eingehend charakterisiert. Dünne Polysaccharidfilme wurden in der Form von quellbaren Gelen auf oxidische Oberflächen aufgebracht und bezüglich ihres Quellungsverhaltens und der Oberflächeneigenschaften in Abhängigkeit vom Wassergehalt untersucht. Lipidmonoschichten unterschiedlicher Zusammensetzung wurden mittels Langmuir-Blodgett-Tranfer auf Polymersubstrate übertragen und bezüglich der Stärke der Lipid/Polymer Wechselwirkung, der lateralen Selbstdiffusion in Abhängigkeit von der Wasseraktivität, dem Spreitverhalten der monomolekularen Membran auf dem Substrat in Abhängigkeit von der Wasseraktivität und dem Lateraldruck der Monoschicht, sowie des Ausmaßes der Hydratation im Kopfgruppenbereich der Lipidmembran in Abhängigkeit von der Wasseraktivität mittels Fluoreszensondenmethoden (Fluoreszenzerholung nach Photobleichung (FRAP), Fluoreszenzmikroskopie und Fluoreszenzspektroskopie) untersucht. Diffusions- und Spreitverhalten von amphiphilen Monoschichten auf Polymersubstraten wurden auf der Basis von in dieser Arbeit entwickelten physikalischen Modellen diskutiert. Mittels Langmuir-Schäfer Transfer wurde auf polymerunterstützte Lipidmonoschichten eine zweite Monoschicht übertragen. Die somit erhaltenen Lipid-Doppelschichtmembranen wurden bezüglich ihrer Stabilität, der lateralen Struktur, der lateralen Selbstdiffusion, des Spreitverhaltens auf unbedeckte Bereiche sowie der Stärke der Membran/Substrat Wechselwirkung vermittels Fluoreszenzmikroskopie, FRAP und Interferenz-Kontrast-Mikroskopie (RICM) untersucht. Schließlich wurden substratgestützte Doppelschicht-Lipidmembranen mit als Protonenpumpen fungierenden integralen Membranproteinen versehen. Die laterale Selbstdiffusion der rekonstituierten Proteinmoleküle wurde mittels FRAP, die funktionale Aktivität der Protonenpumpen mit einem Ionen-sensitiven Feldeffekttransistor-Array analysiert.

Charge transport in amorphous organic semiconductors

Organic semiconductors with the unique combination of electronic and mechanical properties may offer cost-effective ways of realizing many electronic applications, e.g. large-area flexible displays, printed integrated circuits and plastic solar cells. In order to facilitate the rational compound design of organic semiconductors, it is essential to understand relevant physical properties e.g. charge transport. This, however, is not straightforward, since physical models operating on different time and length scales need to be combined. First, the material morphology has to be known at an atomistic scale. For this atomistic molecular dynamics simulations can be employed, provided that an atomistic force field is available. Otherwise it has to be developed based on the existing force fields and first principle calculations. However, atomistic simulations are typically limited to the nanometer length- and nanosecond time-scales. To overcome these limitations, systematic coarse-graining techniques can be used. In the first part of this thesis, it is demonstrated how a force field can be parameterized for a typical organic molecule. Then different coarse-graining approaches are introduced together with the analysis of their advantages and problems. When atomistic morphology is available, charge transport can be studied by combining the high-temperature Marcus theory with kinetic Monte Carlo simulations. The approach is applied to the hole transport in amorphous films of tris(8-hydroxyquinoline)aluminium (Alq3). First the influence of the force field parameters and the corresponding morphological changes on charge transport is studied. It is shown that the energetic disorder plays an important role for amorphous Alq3, defining charge carrier dynamics. Its spatial correlations govern the Poole-Frenkel behavior of the charge carrier mobility. It is found that hole transport is dispersive for system sizes accessible to simulations, meaning that calculated mobilities depend strongly on the system size. A method for extrapolating calculated mobilities to the infinite system size is proposed, allowing direct comparison of simulation results and time-of-flight experiments. The extracted value of the nondispersive hole mobility and its electric field dependence for amorphous Alq3 agree well with the experimental results.

THE RESONATE-AND-FIRE NEURON: TIME DEPENDENT AND FREQUENCY SELECTIVE NEURONS IN NEURAL NETWORKS

The means through which the nervous system perceives its environment is one of the most fascinating questions in contemporary science. Our endeavors to comprehend the principles of neural science provide an instance of how biological processes may inspire novel methods in mathematical modeling and engineering. The application ofmathematical models towards understanding neural signals and systems represents a vibrant field of research that has spanned over half a century. During this period, multiple approaches to neuronal modeling have been adopted, and each approach is adept at elucidating a specific aspect of nervous system function. Thus while bio-physical models have strived to comprehend the dynamics of actual physical processes occurring within a nerve cell, the phenomenological approach has conceived models that relate the ionic properties of nerve cells to transitions in neural activity. Further-more, the field of neural networks has endeavored to explore how distributed parallel processing systems may become capable of storing memory. Through this project, we strive to explore how some of the insights gained from biophysical neuronal modeling may be incorporated within the field of neural net-works. We specifically study the capabilities of a simple neural model, the Resonate-and-Fire (RAF) neuron, whose derivation is inspired by biophysical neural modeling. While reflecting further biological plausibility, the RAF neuron is also analytically tractable, and thus may be implemented within neural networks. In the following thesis, we provide a brief overview of the different approaches that have been adopted towards comprehending the properties of nerve cells, along with the framework under which our specific neuron model relates to the field of neuronal modeling. Subsequently, we explore some of the time-dependent neurocomputational capabilities of the RAF neuron, and we utilize the model to classify logic gates, and solve the classic XOR problem. Finally we explore how the resonate-and-fire neuron may be implemented within neural networks, and how such a network could be adapted through the temporal backpropagation algorithm.

Effects of instructional changes on student learning of electrochemistry in an IB chemistry course

This study investigated the effectiveness of incorporating several new instructional strategies into an International Baccalaureate (IB) chemistry course in terms of how they supported high school seniors’ understanding of electrochemistry. The three new methods used were (a) providing opportunities for visualization of particle movement by student manipulation of physical models and interactive computer simulations, (b) explicitly addressing common misconceptions identified in the literature, and (c) teaching an algorithmic, step-wise approach for determining the products of an aqueous solution electrolysis. Changes in student understanding were assessed through test scores on both internally and externally administered exams over a two-year period. It was found that visualization practice and explicit misconception instruction improved student understanding, but the effect was more apparent in the short-term. The data suggested that instruction time spent on algorithm practice was insufficient to cause significant test score improvement. There was, however, a substantial increase in the percentage of the experimental group students who chose to answer an optional electrochemistry-related external exam question, indicating an increase in student confidence. Implications for future instruction are discussed.

Modeling spontaneous three-dimensional polymerization

For human beings, the origin of life has always been an interesting and mysterious matter, particularly how life arose from inorganic matter through natural processes. Polymerization is always involved in such processes. In this paper we built what we refer to as ideal and physical models to simulate spontaneous polymerization based on certain physical principles. As the modeling confirms, without taking external energy, small and simple inorganic molecules formed bigger and more complicated molecules, which are necessary ingredients of all living organisms. In our simulations, we utilized actual ranges of parameters according to their experimentally observed values. The results from the simulations led to a good agreement with the nature of polymerization. After sorting out through all the models that were built, we arrived at a final model that, it is hoped, can be used to simply and efficiently describe spontaneous polymerization using only three parameters: the dipole moment, the distance between molecules, and the temperature.

The consequences of growth hormone deficiency in adulthood, and the effects of growth hormone replacement

The availability of recombinant human growth hormone (GH) has resulted in investigation of the role of GH in adulthood and the effects of GH replacement in the GH-deficient adult. These studies have led to the recognition of a specific syndrome of GH-deficiency, characterized by symptoms, signs and investigative findings. Adults with long-standing growth hormone deficiency are often overweight, have altered body composition, with reduced lean body mass (LBM), increased fat mass (FM), reduced total body water and reduced bone mass. In addition, there is reduced physical and cardiac performance, altered substrate metabolism and an abnormal lipid profile predisposing to the development of cardiovascular disease. Adults with GH deficiency report reduced psychological well-being and quality of life. These changes may contribute to the morbidity and premature mortality observed in hypopituitary adults on conventional replacement therapy. GH treatment restores LBM, reduces FM, increases total body water and increases bone mass. Following GH therapy, increases are recorded in exercise capacity and protein synthesis, and "favourable" alterations occur in plasma lipids. In addition, psychological well-being and quality of life improve with replacement therapy. GH is well tolerated; adverse effects are largely related to fluid retention and respond to dose adjustment. It is likely that GH replacement will become standard therapy for the hypopituitary adult in the near future. The benefits of GH replacement in the GH-deficient adult have been unequivocally demonstrated in studies lasting up to 3 years. The results of longer term studies are awaited to determine whether these benefits are sustained over a lifetime.

Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: a multi-model analysis

The responses of carbon dioxide (CO2) and other climate variables to an emission pulse of CO2 into the atmosphere are often used to compute the Global Warming Potential (GWP) and Global Temperature change Potential (GTP), to characterize the response timescales of Earth System models, and to build reduced-form models. In this carbon cycle-climate model intercomparison project, which spans the full model hierarchy, we quantify responses to emission pulses of different magnitudes injected under different conditions. The CO2 response shows the known rapid decline in the first few decades followed by a millennium-scale tail. For a 100 Gt-C emission pulse added to a constant CO2 concentration of 389 ppm, 25 ± 9% is still found in the atmosphere after 1000 yr; the ocean has absorbed 59 ± 12% and the land the remainder (16 ± 14%). The response in global mean surface air temperature is an increase by 0.20 ± 0.12 °C within the first twenty years; thereafter and until year 1000, temperature decreases only slightly, whereas ocean heat content and sea level continue to rise. Our best estimate for the Absolute Global Warming Potential, given by the time-integrated response in CO2 at year 100 multiplied by its radiative efficiency, is 92.5 × 10−15 yr W m−2 per kg-CO2. This value very likely (5 to 95% confidence) lies within the range of (68 to 117) × 10−15 yr W m−2 per kg-CO2. Estimates for time-integrated response in CO2 published in the IPCC First, Second, and Fourth Assessment and our multi-model best estimate all agree within 15% during the first 100 yr. The integrated CO2 response, normalized by the pulse size, is lower for pre-industrial conditions, compared to present day, and lower for smaller pulses than larger pulses. In contrast, the response in temperature, sea level and ocean heat content is less sensitive to these choices. Although, choices in pulse size, background concentration, and model lead to uncertainties, the most important and subjective choice to determine AGWP of CO2 and GWP is the time horizon.

Planet Population Synthesis

With the increasing number of exoplanets discovered, statistical properties of the population as a whole become unique constraints on planet-formation models, provided a link between the description of the detailed processes playing a role in this formation and the observed population can be established. Planet population synthesis provides such a link. This approach allows us to study how different physical models of individual processes (e.g., protoplanetary disk structure and evolution, planetesimal formation, gas accretion, migration, etc.) affect the overall properties of the population of emerging planets. By necessity, planet population synthesis relies on simplified descriptions of complex processes. These descriptions can be obtained from more detailed specialized simulations of these processes. The objective of this chapter is twofold: (1) provide an overview of the physics entering in the two main approaches to planet population synthesis, and (2) present some of the results achieved as well as illustrate how it can be used to extract constraints on the models and to help interpret observations.

Freshwater runoff for Taylor Slough to Florida Bay for 1965 to 2000 for the FATHOM model

The Florida Bay ecosystem supports a number of economically important ecosystem services, including several recreational fisheries, which may be affected by changing salinity and temperature due to climate change. In this paper, we use a combination of physical models and habitat suitability index models to quantify the effects of potential climate change scenarios on a variety of juvenile fish and lobster species in Florida Bay. The climate scenarios include alterations in sea level, evaporation and precipitation rates, coastal runoff, and water temperature. We find that the changes in habitat suitability vary in both magnitude and direction across the scenarios and species, but are on average small. Only one of the seven species we investigate (Lagodon rhomboides, i.e., pinfish) sees a sizable decrease in optimal habitat under any of the scenarios. This suggests that the estuarine fauna of Florida Bay may not be as vulnerable to climate change as other components of the ecosystem, such as those in the marine/terrestrial ecotone. However, these models are relatively simplistic, looking only at single species effects of physical drivers without considering the many interspecific interactions that may play a key role in the adjustment of the ecosystem as a whole. More complex models that capture the mechanistic links between physics and biology, as well as the complex dynamics of the estuarine food web, may be necessary to further understand the potential effects of climate change on the Florida Bay ecosystem.